FOCUS
Brenton Brooks
Effect of different dwarfing genes on wheat yield traits
Introduce yourself. What’s your background? Could you code before Data School? What did your daily work pattern look like before Data School? Etc. This section will be placed in an introductory block at the top of the page separate from the rest of the content. Don’t change the section title from “Introduction” otherwise this process won’t work correctly.
Cathrine H Ingvordsen
Weed-Competitive Wheat
Hi, welcome to my Data School Final Project! I joined CSIRO in 2015 leaving Denmark for this great opportunity to work on agriculture in a country with tight link between growers and science and an agricultural sector sustainable without heavy EU subsidies. Before joining Data School my R experience was adopting colleagues scripts and running them on my own data - once figuring out how to load data from another source. Experiencing even more of the power R has on offer in Data School, I’m now determined to find the time to free myself from excel and the errors that can sneak in when I combine field measurements from different sheets - the errors that are complicated or impossible to back track - and make awesome figures.
Elaheh Arjomand
Improved Approaches to Long-Term Monitoring of Decommissioned Onshore Gas Wells in the Northern Territory
I am Elaheh Arjomand and I am doing a Post-doc fellowship on the subject of wellbore integrity and monitoring wells after being decommissioned. I completed my Ph.D. studying the integrity of the cement sheath in petroleum wells after being subjected to pressure and temperature variations at the University of Adelaide in 2018.
Your Name
A short title that describes your work
Introduce yourself. What’s your background? Could you code before Data School? What did your daily work pattern look like before Data School? Etc. This section will be placed in an introductory block at the top of the page separate from the rest of the content. Don’t change the section title from “Introduction” otherwise this process won’t work correctly.
Elise-Andree Guerette
Evaluation of high-precision analytical techniques for measuring atmospheric nitrous oxide (N2O)
I am an Atmospheric Chemist who has recently joined the Major Greenhouse Gases team (GASLAB) at the Aspendale, VIC site. https://research.csiro.au/acc/capabilities/gaslab/ I started using R as part of my PhD and I was quickly hooked. Coding gives me both extreme joy and deep frustration, depending on whether my code works :) I used R throughout my postdoc and I am now keen to use my R skills in my new role.
Felicity McEnnulty
Monitoring endangered Spotted Handfish populations
I have a background in taxonomic identification of marine invertebrates and plankton. This requires working with data sets of species data and associated environmental data, spatial details and imagery. I have been involved in fieldwork using SCUBA diving to survey for introduced marine pests in Australian ports and to conduct underwater visual counts for species monitoring. I have used Excel, Access and SQL databases to manage data and have some experience in coding using Oracle to manage data and and R to produce graphs.
Geetha Perera
Screening GM canola for tolerance to aluminium
I am Geetha Perera, a Research Technician with Agriculture and Food based in Canberra. At present I am a part of the Soil Constraint research team in the Crops Program. I had no experience in R before Data School, tried to self-learn but never happened. I have been using Excel extensively to record, summarise and visualise data mostly using bar graphs. My main aim in Data School was to learn coding with R to replace the repetitive steps that I do with data sets in Excel. Data school FOCUS was a great learning experience for me and I am amazed to see how helpful R is for tidying up and visualising data which allows us seeing an in-depth picture.
Jose Barrero
Transcriptomic analysis of high-oil transgenic cowpea
My name is Jose Barrero and I am a Research Scientist in Agriculture and Food. I recently started leading the Cowpea Team in Black Mountain. I have not done any coding before but I generate large datasets that need complex analysis, so that is why I decided to learn a bit of R and to come to Data School as part of my Julius Career Award activities.
Ram Ghimire
Analysing biomass and yield of two contrasting leaf architectures of wheat
My name is Ram Ghimire, currently working as a Research Projects Officer in wheat leaf architecture and yield project. I have been working with data in crop physiology & agronomy for many years but have had no experience in R. Most of my data manipulation and visualisation are done in excel. I came to know about Data School from colleagues and got opportunity to join this year. Before joining Data School, I was used to spending a lot of time working with data mostly in excel spreadsheets. Now, I am delighted to see how amazing R can be for processing and visualisation of the field and laboratory data that I collect every year.
Shirleen Prasad
Genetics of stress- & domestication-related traits in Bactrocera tryoni
My name is Shirleen Prasad. I am a 3rd year Macquarie University PhD student based at CSIRO. My PhD project investigates the genetic basis of reduced stress resistance in domesticated Queensland fruit flies (Q-fly), Bactrocera tryoni. Before joining Data School, I mostly used excel for data analysis and could only perform basic statistical analysis in R. Gaining competence in R through this course has given me confidence in using R independently.
Sophia Escobar-Correas
Ryegrass, a potential source of gluten-like proteins
Hello! My name is Sophia, I am a molecular biologist working in proteomics, currently a Postdoctoral Fellow. Before Data School, I coded using Macro (Excel). I used to spend a lot of time cleaning and tidying protein data; I always felt like I could do it faster if I had programming skills. These weeks learning R have changed my daily work. The possible things that we could do have opened my mind to a new perspective of my research.
